Distributed Economic Model Predictive Control of a Catalytic Reactor: Evaluation of Sequential and Iterative Architectures

Anderson, Timothy Leif

doi:10.1016/j.ifacol.2015.08.152

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…Distributed EMPC (DEMPC) is also an active field of research; see for example other works. [28][29][30] The use of individual controller agents to solve the plantwide problem is predicated upon the existence of a reasonable partition of the original model. There are contributions dedicated to the automatic division of the plantwide problem.…”

Section: Coordinated Optimal Control Of Fed-batch Parallel Units Sharmentioning

confidence: 99%

“…It is also the case that, as the viscosity increases and the evaporation induced bubbling is reduced, the mass circulation gets poorer causing a further decrease in the effective value of U. To model this effect in a very simple way, the expression (29) has been used. It uses a relation between U, the mass temperature, and its concentration adapted from the one proposed in the work of Semlali Aouragh Hassani et al 43 in relation to sugar evaporative continuous crystallizers.…”

Section: Simulation Modelmentioning

confidence: 99%

“…The accelerating/delaying factors P Fi act as the only decision variables. The h local function represent the model of the given crystallizer, as described, for example, in (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29). In general, as previously discussed, it is also required to enforce path and terminal constraints (see Equation 10).…”

Section: Sugar Case Study Two-level Coordinated Plantwide Optimizationmentioning

confidence: 99%

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Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Mazaeda

Cristea

Prada

2019

Optim Control Appl Methods

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Summary This paper deals with the optimal operation of processes that combine batch and continuous units. The proposed approach is based on a hierarchical architecture with two layers. The lower layer manages the optimal operation of the batch units in a noncentralized fashion, whereas the upper layer is concerned with the scheduling of the batch units and with their smooth integration with the continuous ones. The strategy has been applied to a challenging problem found at the interface of the fed‐batch crystallizers with the upstream evaporation section in beet sugar factories. The presented approach aims at designing a system that can effectively perform the plantwide economic optimization, specifically addressing the issue of energy efficiency, while complying with all process and operational constraints.

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Section: Coordinated Optimal Control Of Fed-batch Parallel Units Sharmentioning

confidence: 99%

Section: Simulation Modelmentioning

confidence: 99%

Section: Sugar Case Study Two-level Coordinated Plantwide Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Mazaeda

Cristea

Prada

2019

Optim Control Appl Methods

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Distributed economic model predictive control for operational safety of nonlinear processes

2017

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Achieving operational safety of chemical processes while operating them in an economically‐optimal manner is a matter of great importance. Our recent work integrated process safety with process control by incorporating safety‐based constraints within model predictive control (MPC) design; however, the safety‐based MPC was developed with a centralized architecture, with the result that computation time limitations within a sampling period may reduce the effectiveness of such a controller design for promoting process safety. To address this potential practical limitation of the safety‐based control design, in this work, we propose the integration of a distributed model predictive control architecture with Lyapunov‐based economic model predictive control (LEMPC) formulated with safety‐based constraints. We consider both iterative and sequential distributed control architectures, and the partitioning of inputs between the various optimization problems in the distributed structure based on their impact on process operational safety. Moreover, sufficient conditions that ensure feasibility and closed‐loop stability of the iterative and sequential safety distributed LEMPC designs are given. A comparison between the proposed safety distributed EMPC controllers and the safety centralized EMPC is demonstrated via a chemical process example. © 2017 American Institute of Chemical Engineers AIChE J, 63: 3404–3418, 2017

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A Cooperative Distributed Model Predictive Control for Nonlinear Systems with Automatic Partitioning

Rocha

Oliveira-Lopes

2016

Computer Aided Chemical Engineering

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Distributed Economic Model Predictive Control of a Catalytic Reactor: Evaluation of Sequential and Iterative Architectures

Cited by 9 publications

References 18 publications

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Distributed economic model predictive control for operational safety of nonlinear processes

A Cooperative Distributed Model Predictive Control for Nonlinear Systems with Automatic Partitioning

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